{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 1 - 训练模型\n",
    "\n",
    "现在我们觉得我们对数据有一点感觉，可以开始设计我们的模型了。在这份文档中，我们将定义一个网络架构来训练模型，我们也会讨论一些数据转换来呼应之前我们在上一份文档中的观察到的东西。\n",
    "\n",
    "现在我们开始导入一些库。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.models import Sequential, Model\n",
    "from keras.layers import Conv2D, MaxPooling2D, Dropout, Flatten, Dense, Lambda, Input, concatenate\n",
    "from keras.layers.normalization import BatchNormalization\n",
    "from keras.layers.advanced_activations import ELU\n",
    "from keras.optimizers import Adam, SGD, Adamax, Nadam\n",
    "from keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, CSVLogger, EarlyStopping\n",
    "import keras.backend as K\n",
    "from keras.preprocessing import image\n",
    "\n",
    "from keras_tqdm import TQDMNotebookCallback\n",
    "\n",
    "import json\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from Generator import DriveDataGenerator\n",
    "from Cooking import checkAndCreateDir\n",
    "import h5py\n",
    "from PIL import Image, ImageDraw\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# << 上一步已经处理好的数据所在的目录 >>\n",
    "COOKED_DATA_DIR = 'data_cooked/'\n",
    "\n",
    "# << 模型输出将被存放的目录 >>\n",
    "MODEL_OUTPUT_DIR = 'model'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们来读取从探索数据阶段得到的数据集。如果它们不存在，执行Step 0 文档来生成它们。  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_dataset = h5py.File(os.path.join(COOKED_DATA_DIR, 'train.h5'), 'r')\n",
    "eval_dataset = h5py.File(os.path.join(COOKED_DATA_DIR, 'eval.h5'), 'r')\n",
    "test_dataset = h5py.File(os.path.join(COOKED_DATA_DIR, 'test.h5'), 'r')\n",
    "\n",
    "num_train_examples = train_dataset['image'].shape[0]\n",
    "num_eval_examples = eval_dataset['image'].shape[0]\n",
    "num_test_examples = test_dataset['image'].shape[0]\n",
    "\n",
    "batch_size=32"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对于图像数据，将所有的数据加载到内存太消耗内存了。所幸的是，Keras 有一个称之为DataGenerators 的概念。一个DataGenerator 其实就是一个将从硬盘一块块读取数据的迭代器。这允许你保持你的CPU 和GPU 一直工作，增加生产力。\n",
    "\n",
    "我们在数据探索阶段已经观察到一些东西。现在是时候像一些策略来验证它们：\n",
    "\n",
    "* **每一张图片只有一部分是我们感兴趣的** - 当批量化的时候，我们能够移除一部分图片中我们不感兴趣的部分。\n",
    "* **数据集显示了垂向翻转能力** - 当批量化的时候，我们可以绕着Y 轴随机翻转一些图片和标注所以模型有可以进行学习的新的数据。\n",
    "* **数据集不应该受图片亮度影响** - 当批量化的时候，我们可以随机的增加或者移除一些图片的亮度，所以模型能够学习到全局的光照强度变化应该被忽略。\n",
    "* **数据集有一大部分存在零值图片** - 当批量化的时候，我们可以随机丢弃一部分转向角为零的数据，那么模型训练时看起来平衡多了。\n",
    "* **我们需要一些在数据集中为转向策略的样本，那么模型就可以学习怎样进行比较大的转向** - 我们在预处理阶段就关注这个。\n",
    "\n",
    "尽管Keras 确实有一些标准的图片转换内建函数，然而它们的功能不足以应用在这个应用。举个例子来说，当我们使用内建的ImageDataGenerator进行horizontal_flip = True 操作，标注没有同时进行翻转。 所幸的是，我们能够仅仅扩展ImageDataGenerator 这个类嵌入我们自己的转换逻辑。这部分代码在Generator.py 文件中 - 直接可以用，但是要解释这部分在这个文档中就需要很长的时间。\n",
    "\n",
    "这里，我们会用下面的参数初始化生成器：  \n",
    "* **Zero_Drop_Percentage: 0.9** - 就是说，我们随机丢弃90% 的label = 0 的数据\n",
    "* **Brighten_Range: 0.4** - 就是说，每张图片的亮度将被增加40%。计算”亮度“，我们将图片从RGB 空间转换为HSV 空间， 放大或缩小 'V' 值，然后再转换回RGB 空间。\n",
    "* **ROI: [76,135,0,255]** - 就是说，x1, x2, y1, y2 矩形代表了图片中我们感兴趣的部分。\n",
    "\n",
    "> **思考训练 1.1**  \n",
    "试着不断调试这些参数来看看是否你能得到更好的训练年结果。  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data_generator = DriveDataGenerator(rescale=1./255., horizontal_flip=True, brighten_range=0.4)\n",
    "train_generator = data_generator.flow\\\n",
    "    (train_dataset['image'], train_dataset['previous_state'], train_dataset['label'], batch_size=batch_size, zero_drop_percentage=0.95, roi=[76,135,0,255])\n",
    "eval_generator = data_generator.flow\\\n",
    "    (eval_dataset['image'], eval_dataset['previous_state'], eval_dataset['label'], batch_size=batch_size, zero_drop_percentage=0.95, roi=[76,135,0,255])    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们来看一个样本批次。转向角在图片中用红线表示：  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Steering Angle = [ 0.00389267]\n"
     ]
    },
    {
     "data": {
      "image/png": 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SZ/MhYUeDc/bg7DIGqVXm+UutCXjkrAlLiZ0CpfxxxFGmqNlpirx1O/Oey4qi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0cUVUlXlwzGTQiOD4+Mjv6LONNNKF3fE00moPPCcRDg+R5Jqh8KQaicavR4lnVNnE5M63pZbDi+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\nh1uC/wcf15K9m4OXlQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2ed06c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Steering Angle = [-0.15305]\n"
     ]
    },
    {
     "data": {
      "image/png": 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hLjQnJydcraIPMs7ibCzJ3/lUqRRX6w1dcsYX52uM87iQ8gtKY/3IMiVBi6Yi\nhMA8fb4qC7p+ZNsPkZMLv6POPzn4J8Vc/r+aFPUB7p9E5yG0Zmw3uIQjay3ZXF5kh99M51x0AyMX\nBJl0V8qabrthk/Du6XROUTUUTUpiGIO1Q44+nHOYEBkzAGa7RaZsSp+KHpSAZragkHucqut7HiaW\nAMFzdXGBSBNeKs3y+EbmFguhGI3h4aP7bC5i9ajwHucdi3mMAMt6wuMH7+TCo8Ojm+iyZrWOkZmS\nklorivSe3eYS022Yp89XWqOOjjAuRMcBDP2WvizxufIucHl+wlFyakoVmHFfSDRstkgpU34gVpba\nocONA2Pa3ISSCAL306Y6nS2o64ayjpuIqktkiIwSiBoqx8d3qFL172RyiPMBQciJprFbodHYnMyV\n1LqkSom/2WyJKjRux7SxQ8TTnxA38s7mDUAKQalLpjcWuShtc3nO6eP7PEoccbO9YrtZcfTUvdiu\nVLD1pN185jn6TYxatRK4bgMhMFzGcR+FjFh3EefW4Z3nGKyBVDEopIjv+ITYVNtuc3VwUZQIIbAB\ngt+JiEWtnF3+RQqBUDIzqA5vPI3Uir5dp3mwpizKnOM4vvU01o75GZFKHpBK5WSt9x4c6NSuoihR\nWucTUN/3CETOXXVti7c2t6Fq5oBHFSUu5XzGoQch+NhPxMTq8uCY73nhBajjGN77wIc5unGL1175\nMgCvntzn3sd/jLdejz//xI/9NDeObmLHPgcHOlWK5+pIa6imM0gnzsV0xlPPvgCJo2+s41Of/Ac5\nn0ZIAnR1HNtyfszm8lW254+YportyWxJKQUinaS6zYpCa4RMRIK+R+t9zgigLBRHR/Hz42jp+p7R\nWDbbOH+9dSxnU5YpP9NUNc67vA4vVpv3nJAypz2dNK7WLS4EVusen3Z6H3aJ0JDf7T0mfpd/+5fY\nNYZ+bdd2bdf2XWLfWR66GRgSTcmOAwfLJa6KTVhvNxQ6Vl0BFMLjxhGhPKtHMZqoJlPGQNYFGYaW\ndrsibNLueHVBqcvMRBitYeh72hRx9ts1WmpOH72bj27NdMbB8oCjGzG7br2PmjApmh7HAaRkkzDz\nfn3B5Xa7p3ApSalKzi5OmSferZKSwTgeFTFix4w0ZYlIbJFHkzd53/MfzMf51clj1gJ0Ri4MDsnl\nOpU1T6YIJZHOExKr5e5Tz1BU0xwZSK1RRUHf9/ldRQjMUrRSyxltq9juWDABhDEc3LjFmCLsqm7o\nNuuM0QbX5pIBAAAgAElEQVRnUHJCtZNJcBb5BIyzWV2C98wXEcccuy5JEwumi3i6aCZzirLCpmiv\nKAqCELn/7z94E12WyBSCNPU0wgdZ5MMTXEAnWEcXJYMZuLq64Eu//vfjvGo3hF3OAHDBI3WdWUWN\n/BenefvwNXZhz5j0OESUvIyPFRKlFGWCtPqrc0zVwCJ+RgtJUdVYt5NmdehCJtgKhuDRSkd54h1T\nBodUKtdPeDPg7ZhrC4q6oarrzBBSSuKdy5DM6uQtinqaZR6krhjbNQRPmXJTPgSUrnIkPJku0UVB\nSHOtaRqapqEe4t8PXcvV5WWOKLerK5SW6KKiSFH7dLagKAvG4TjNC8vJ6TlVHU92hhK9vM0f+5OR\nFfOzf/IXkELn0/aw3dBvLnDjyPo8rQkhI4tKp1oNJHeeucfiVpQ50EpTTWYZ4vqtz32Kxw8f4NlV\nU8cT5YtJmgECH/rBn+Dk3dcZ04l86FvazYpxjP5jHDv6fsCHXel/PLnMUi5LSUXTTDL81A8mUlyf\nkOw2xnB5dcUmQW2jHenHPYvJeccwDtiU5zPGYD25gng0jnY03L9/niW741wPv0MGQXxrNf/JvrMO\n3Tnuvx2pYrpQ9O2GsySbWhQlSooIiRAFqapSY+0k87NdNxBUkX8OznN5eUWXsOfgPIv5jE3CwM5O\nHlJVdZ4Exjo2bYcd+syhbUfLqht4/Cjyog9v3IB6yvllLGBQhMgfTgt3tdngjM0FUYeLGev2lPnh\nUXbYzju8H2gvYzva1QXTqsxH5eXxMY9e6ThOUqGTZsK22+LSgUmVU2qtc4LI2ppCxURLlfDrvu+R\nqkKmJN04GGbzG9RNnFxDM+fy/IRtOiqG4OjaNkMb1lpEWXF1dYlJMr2FLqmbCQdpc0MUCCVZryI0\nJAjMlsfI5GwXR7fwAdYpyXd2eY7WBdPFgsv7cZyFKpgul1QJuvBdT/A2FT4lTfB2s5+7/pxCF1mi\nQEpJt1nlopZhc8Xl26+xXV8hU1WJbpYsFjN06psIQRRZF78YV/xOU5k/HjF0KVXS1w75uY4en76z\n0hpnDVcp8W3MQAiBMmHCs8ObKMhQUyAGA9a6vZa2VATv9ok9YwhuzAVl0/kBZ2+/yjbplzg3YLo2\nO7VCKxAyOweEQhYN9eKILs1XgsM7mwVcvTVUk3nW/J7M5tTTAzZXsUz/+KnnWB4I+gTBtCFqGw1D\n94S2u4h879RwXTVRKiFt7Eopmrpm1caft9s1t28ckn6NLmuWt59DScHte1F6ud1eUk8WWarCO491\nljGt5fV2RTsY6iZ+SVHVUaZjl6WODePs5DEAH/+RT+BsLADcpCKqbrvi4au/TZ3qQ7wHXTS5iLDQ\nJdNZyDrvozF5zsTu1Vm+YBdEGmOYzmZ7GvMw4K3NtFFjDC4E1oncETfCkXXC6VebLfUwcn62YtOm\npGiiKP5BiLB8Z3noznGZMPOmqnj08FFe2EPXs5zPqRMe3lnHfDIlIHYwJghJ37ZZ2Wyz2uC9ZVJH\np3axWvHOO29lAR+R/qdIEWZdVeh6Qj2b5ee6vqUpZXa20/mM2XSZ1dG0FCznizxguigQRY1MDl1Y\nh9YCIYq9cL63mL7l3bei6I90hhuHCw4TS2DbbhiQPHi0w+kDWkmWB0mTppnig8iiZGXdxAsZpECl\nfyt0gSj3m5uSMbpdpck8mc2juH+aJtYamtkyF9dAwHubqmR3idMerWSu0jR2SAVIqaqzqDg9eZCZ\nH2XdUE+m+D45LO+x3tGf9vkSDC0MUoCp4+SVCOp6wjQpNho7gCzwO2En56KOe2Iq9d2W+69/jbAr\nJnMDi/kSpYucgCzLyPzY5Sicd8gQGJMe/fi7rJTtdpUrSbVSyKJAaklICSrvbLzMJDk6O/SRt5+c\nwdB3BBHbC3D++B3s0Ge8vqhrymaONUN2wN4FRjPmE463hrIq8snsfH2GN4ahTYJUXYvWBUM6lfnd\nRpfTJiPKGbpxC+qJ6uikOwQRpx+2lxlj36oSRECmgjQ7dpTT5V5YrtSU9ZTzR++w3aZT7GwZtXDS\npqq03l+wAkg87XZLtWOGScV6M+BJGvZm5NbxIVqqXEOiqwnWOUTKJ2gtqZRimrRxDrnL2cU5/So6\n21/5m381niLS6UX46AhXST9m6Duct1hjadLc0oWmv3E7K4wW1YR2s8oFexCDzN1pxlgHIlCkgjSZ\nxq0oinwSK5VktVozJLaZcw6lNHInkhc8wQcOUp1FAEpdoNJ7VlVJ1w18aXh7p1OW/25/28d7/vVb\nsmsM/dqu7dqu7bvEvsOVopY+YU8FcHl+hks7nQgBo0RmQ5TLOSZYTvstIkUf1XTK6cVlVrjbbFY4\nY2mTvnEhZbwNJ+GBY9cybRqmRzHyRShkiFj1cSoPZj6l0Jpl0iuppEK6kUWK+nVZoUXApN1y07Wo\nrs2RcV1oZuUMMDST2K5x7NhYzd33JV1x59AIpilCF6vzeJTbHfu9J0hJt6u8S+yXHV+5aqa40YC3\neacXSkZsNPWtkoKqnmdNicEYus1Vjg7t0DP2Xa4+tWOP6bbosqDacdn7+F7exagnOJeuzEoPkVFF\nb6eLcLLZ4p3da7SreEqRRZ1VHpWQdGOH0vmYxfHRcYQPiBHNZH7EQaoQHDcXPHrtK5gUlSopsO2+\n9BopuFhdobXOeY6279FKo1J+QClNVdc50irKir/9y3+Zf/MX/yI7C0/kYgJkeKtLfa5VVIbZ6dqU\nRckw7nWuI/1vwKXTjRSSstAMbqerrzBmiEyrdOJRzRQfAkOi82ldYJsGlaA6ayJUssNfrQuMpsv1\nC9Z7tHO53D34gLUWrXVeyKqoKKsmv1vE5/eaKS74WLZvE/e976inc2Y3IjtqtjyibOY4d4v7X/9q\nfG6/YuwHZJonk4ObFFUVr/4DvDMI4PJxYqypAllVHN2K8gJl1bDuRqy1mC5G3E09oZlM8lWDZVGx\n3W4yvOSd5Stf/Rr/83/9V+IYt9t0bWWCtFQ8ez5IsKYXUaVTlXU+wXTdNrJUktriOA50202uSvYh\nUFY1VVJaLaomSl3sKM0pH7VerTJtset7QOYrJq21bDYblE6xsZCoQtKPO1hHo8uSyU6yQQgen10S\nngilI0FR/C7aLU9WiH5z0fp3VD53eTAPf+RHoqyntZYQXIZHwjgymTRZtKmZNBR1Q1A6C3btoIBd\n8Yw3fSz8cfvOrcuSKgncj8YQnKdMkIuuKqqqRkoyTVFLEalMqcMKXXDjxnHGyKqyoio0Y1pkJ+cX\nSGAxT0VCkynTumQ6XRDStV7b1QVVUVJkISJNcBaVNoGiKBAhZB0WoeLi9+zK5R0Eh0kTyoeY5Cwn\nE6Yp+aWS2NReSMgiVYF3u2vZLMN2zTpdRTYMHcGaLIOwWa/BB4QUeeKaEOKETNCRsRYJ+bIPoQTe\nuiyXKqTGmDH31Y4564PN2i1CSsYQsqyBJNBUxR7D3iV12W1ugYDLutlSxSu7dpAYhKRJs59Xu2dN\nZ7u+UdRVkzVR6mZC1Uz4hX/nP+JJ+5/+2l/JY1zUNV27ZUgJNYKnbduMiVtrkEJQ6P1FBlKqfe7W\n2agpk2AJ6yK9MPiQ+0dIiU1yC7v+qiZTZgepcE5qQrCZp26tZezbLM0aax9CphN2bXROQiqKNCaj\nde+RaygKTVkUuYBHFQVFUe/plWXzHgiiaiYUzZzJ/CAn7ZwbWV1csT6P+QOPolkc5TqJ1cVjTLvC\nJFnrw1vPUM0WuV6hns5QUlPWVd5YhFKMw4DpEzwaAkprpqnITcooPfErf/OvAvCF3/gkd++9yJuv\nfjmP+b0XP5ilGfpuy7/9S/8Jqizo0xg+fP0rXLz9KkOa81JKhJQ5j9S2W3pjM4xWlgV1VdPuaM6j\niRK/UuVCuNV6w3a7eU+xj9b74jspBMYY1klyYxjjeNY7eQwlOT2/4h9/6rcYxt3GEt/nSU+8u5o0\n/ncgBL4p+dzvqEOfzafhox+NovlmHHHe0yQhfukNxWQaNbWJi7MpK6TWeZENmw0ihDwBN5s1Ush8\nQ0kQklprdAIlnTGI4DNvuq5KZNUwKfeCVH27odSayTI648uzC9ywzd9JiJ/b7cBd19MslszuxOj7\nsJlQNQ1BStKdDri+RwIyMQu0LijKEpc2BSVEjMoSbtwbg3WOMm1m42goC80yXaYQvMM4h9RFdoze\ne+w45MWNjnoou9pG6Q2CvTNptyvazTozJJQQIKLuyW6jdHZESJkXnfdhz3OPXRFvkkqJwN2Uy4nA\nQBLzGvdiZkrRdx19OontktHzXSQWHOttm6tqfeJ27wqknPeMxuT7WquioEzcaq32VbFKaZZH8QRU\nNROa6Sxzq3VRg1D8/J/+RZ60f/y//w9AZHpYOzIOPZfpogdnxrg5pfYO44B3PrNBlC6oqypv0nVV\nU9X7qmVrTOy/Jy4LD8AwjllnJQiB0iU6Je2k1DhnMSnqL5SimTT5YmSd50zq97FntV4lx7O/sLmq\nmtyuspmgdUGz29zqKVUzyUJy9WQSNdh3m/hoKLSiqaes1xdpzDzG7i9rH4cuVvemgERqzfbygtVZ\nzAlJIQh2QCWHXpQ1RTNlMp2zTKfl2c5xp6Kp09PHDKuHtElTRirN0y9+LFfAbjerfJH8bh5JVfC1\nL34OgP/j7/633L73Af6Dv/ifMqb5/Npv/hp+HBl26opdS1lUOZ+wWa2wdsDsLltxhsEMdOmSEucs\n3sbq550eT9f1EELe7LbbLdb53P+qKGL1eFqXxjiGcdyf7LznzXce86WvvJELznwI/6I4Vw6PSM/7\n5hz6dxRyUUoySXQ26wNlU6PSQp3WE4pCs2iS89WCSVVxcX6ei2nizUKzXEZ+eHyEMxaZbxMqE1Us\nSQH0JsEBqWNklK0ttc5R/mS+xJmBq8vz9DdwdHiQj96LW8/EDSFFSe35OdvgqVKb3HyBCdFBzlJ1\n2CDiBQ676j1d1ljT541GF3VctCl51RQloar2zlOJeJF0olchJd4Yus1lLkYQhcaNsRIRIjThum0+\njisp40W8aTIXhWLa1JkR1PYdVVXHG+J38q1O4ENgksShmqpBl1UqAIm9aIYxi4pVkwYC+RYlpWQW\nT9sd+QmBsihyCXcgMnRWaRF145DGJME2Pv7VrjhsUlXUh0c5Aq0nE5rpgqIssxM6uvEUxronbl4K\nNNM50x0drZ5kR/ykTQ7SNXhzx+XZY/wYqJfR4QQ30m82+GEHwRQE9YToWAg4H/DJ2Vrr6JPTB6jq\nGIwQwCa5BUKEEnTalFVZUk+XWcpW6SImqlNfCRlPBmZX4NO1SK2ygFjvPFXVPKH4CIR4SUlmhjmH\nkkW+hEQrTaEVQ3LPUksaPaNMsMNsEa9GNGPPPMFgzkT6XpscvHEjKkhcSt4OQVHVFTeeeSG1c027\nusQ+Ie08jj3d6pyrfOm2pJ4dZMqrkJJyegOq6Oj7YeDNL3+OdapiHoYerVQuynIu3ljUJYbKH/6x\nP0xZFPzT/+Vv5CsVtS65Oj+jSlK3m/UqFnPlm5V8pCUnk1IhZEE92c9d5+K82kFvRbrcfgc3TWYz\nBOQI3TnHaCy7+qfeGDabNqMIQkgurtbReYf8mDw/9raHW8TuOqdvwq6Totd2bdd2bd8l9g0jdCHE\ns8BfB24T95BfDiH8F0KII+C/B+4BbwD/Vgjh4ht8GTKVCz+1XHBwuCSkPaWuG+pSQ0qKMo5sLi+5\nOH2MT9dlVdMG53zmv2oCq9MLxoQbHy6mKFnQ7HQUqjomRTLFyKNKTV2oLPlqR4c+vkFxFPVLpITR\nQ5ikI5X1lMpR1jt8tiR4y9CnUt6zEw4Pb1BU8/wusmxYXV2id3dXdx0m+AzzSNXinMelU0A/DGy3\nLTrBT9u+ww4t9Y4GFuK7CqEyJasd4iUYza6UWoh4J+vuvk8TIj1up1EzCoxWGW9WQXB1fkFvDYuU\ndKsm04jNp8h3Op0glMSaVDClFK52matrjUl6LinBmSCJQivOL2LkFOxI1+8vicY7FCKXRN86OKaq\n66x7I5WMZd3pBHV0fAOhij2FczKnms4xQ4du0uXWDsbuJF/2cXB4yMHNWxTlXtNjd9nCk1bNjlL/\nd+jJiN1s6VMwPbYGO3rMrjzbOZp6SlHvxLlqrLEUxU5/PiYfdyJixjqEi5zuXawVoUKZC24miyOm\ny2Oq2U6OYcvq4iJH07ZvE+Ybv7PUmlI3+STSTGbxEvN2mymzUmuULrNG0mgsCJjUOypfwTC07MSE\nN2cnrM9PKVJxWTOZUzUNRdnk00g5myOk5PA4SdsKQbu+4jRx8oMZuFytKJJExNC2HNy6i9bp5FFV\nDF3LOPS5XVoqunbF+UmEabz3CCk5OIrPmE9nqMVLFMs4jx5+7bP0o2GaRMQmiwm6arLwVlFq+r6n\n7Tq6lHNz/QbvPbpNl9Wke0/dEwniqijzfC6Lkma6oE8+aHV1hXEWM+xpoFoXeLWXv5BasVlvsxaU\nsR4XAqfnidtuDd1oMqXT+5BUi/ZJUCFignufkEn/np4phcDxzUXo3wzkYoFfCiF8XggxBz4nhPgH\nwJ8F/mEI4T8TQvwF4C8A/+Hv+TCluHsjHrEOD5agCmq9UwPc0PZkvHx1dc5m27LuttghrTLvkd5n\nAfqQuMI7burZCiDgT1ICSEnquoK0AJ5+/wfwCgbjeJjYNlJIxNlVxqK1imyFnWesdYE2A4t0TDs4\nvolSMnJWiZWmupmiVc0wJhgmeFRVZWaMFIpSq5ywtHbEm5FxV9zkAtYbXGJpBNPDOLJKtzs1dYmX\nIqlNpkpPKRmNweRJEDFAnRyhUoqirHCJi10XFUWpM15IgPlshh5Hynp3y06BsyP9Tn/eGYqi3t8q\nU2ic9YTknLUUuH7YKyEaixsHJs0k3yTTj56mLJmmzcoYgzWGOuHbnoDSMh+LhZBMmkm6PAPq2ZLp\n4U3q5PSKagIENutL2qTFMrZXNJOGeeL+ThcLjO3RKXgo64YiJZOfNGN31aslk/kC6z1F2rhXlyeE\ntcSkd6+aGbPlAXqn+xECaJs36RA8Qip0StJ55+K0cxa3g1w8oCuS8B6jcRTGMm7iOJ+fPqIqC+Yp\nn2PqimAMRUrAl/UEoRTlrkgrxEtSZmWZ2U/GGEZjafud0mGSAhGpgrjvUFoSEs8fHzXYRZp7ftFj\nugkIkStFJ/MDqqpGpJ/LekI5nXP3/R9MfeG50Y90u9qNqsF0m3wxynKxpKonEQLcVUwOPc10mQOr\nvu85efROrnEgwNHtuxwkzP2Zn/55hJQ8fhwx9vliSlGU3Lwbi/OcNYiqYXv6MEOC7eUJY7fOtRc6\nxBxGvrvXe3rXI3b4uOgIIWQWzDCOORm6qxRFyDhvdvj3OAJ7KG40hsE4mgQdT+WEmTF75t0wxtvJ\nntBniTpc74VVvnV+S7Rv6NBDCA+AB+m/10KILwNPAz8H/NH0Z38N+Cd8A4cupcyR1nYwWNPSFamk\ndjDosmDVxoknyyk1ktPT83xrSaELJtMG4/fi/HXTsDyMi/3R+QVaKqp0Ya7SirIoc6S73VxSVBVV\n3XCUcOLeBdrNFcskCRtEvD2pTrt2EDBtGlansSLNt2uOjm9kedeh39L1G5TaFyd5FNYZtvnKORlp\nkLtLHgS0XZdVIOu4RVPtNqqywNUet3M4WqFClOXcMV/GccA7k+lRpmtjsmdXZi4lhepyIcdadBRa\n5Ui5qQq8E9w4PCA8cRHyejVkbFoKibVjptkpEYtjmpTs2qxXbDbbyDohXRZQzqJaXVq4R/MZTdPk\n24OkECgpsakvPALhHYYdK2NCffMpJukKu+lsSTOdZzx2uz7HuxE3jtQpKTo9PKaZzpApIkQKimqS\nx8Mahy32ycmd9Wl8lJIE76LEgUjCTtM57fqKcdhdQhDHZ7fQBjPixJDX4DD0uL7PkrNSFjTTKc1k\nnvM1Q9dhhw6/y3voAmMtkyZ+5vadp2KhV7/r74ZQ1VkYrm5myEKnTS1dMygUMrjM3BCFZLk43teo\nSEXwljp9xow9VV3l3Ms4xivxdlH/arNm5j2CQL+NDJS+XVPVU+okhtZM59TTWab7dX1HWZc576GL\nu3T9kB2ns5ZAPL3tomOkxBmXFUYJnvqJXIeuG66uLuiSc75z930sFguefd+z6RklfduySgqmQQnG\nzYZ6fsj8Rjxt+2eexztHm6SyN+sLurOHuVBLCsG23WSaoteK4HxO3EsZKz37YdjPV2fwwedTv/ce\n6/b5m6os0EplVVMpBUKA3a1bZ+OpFvYReaKV/kth8m+BuPItYehCiHvAHwJ+A7idnD3AQyIk87t9\n5heFEJ8VQnx2lz2+tmu7tmu7tj94+6ZZLkKIGfB3gT8fQlgJsT8UhBCC2DH+f4eFEH4Z+GWAw+PD\ncJay1kpKpJa0Q2KbKIXpOuaJmdC1W4J3LA4OUOmrD5smRng7PnddUNQ1JglnHS7msZw4Na0sy5gJ\nT9HIsBmoy5KiGnIBDgSmzTRfrIGIV6stExsHKRh7g08SqJfbLa216B1kEFLGXsusceKGEa3Ve7RF\nTOuyhvqooC7LrJ9hrENKweVFTEEUVYWUYsfMxgwj63aLEqDT0c5Zk4ocog3GokPULIcYGVR1lSEY\nYx1KCA5276UEVVHFI+gTsIEk5Iz84OJdkTt8+2qz5vTxWWbjTJqaUinMruhi2zFag1I6C2UhJaIs\naRIzSUro+jF/pp7OKOpZxpHnB0fgTMa/HZLt+ophFy1u19SlwnvPdCdPXDUEVGaPlHWFDzIzTspK\nZb2UJ222SPK7Vyu89wRZIFPUX06mTGaLzIKIFDazF84aRwJ7edRJcFjns9Z2UVWR2lY1ucjKjQ4T\n+syAYOioCIzdTrs8XkZcpdOMV5qh3+aLDnQ9oZkt8oUX1cyhdBF10/Veg6Tv+0xT9MFTVzV1ouEK\nEQuvdhS5oevp+y7LBThrKFKkvJtrhIDUNSZhRX67wVifiwQPb96OWixFXGe6iEVfOwimtTbf+bpr\nZdcFnPOM456ZFISmT6cTMVqayYynnnk+//7y6orz8+g/tNQcHh9z4/A4j7k1lgcP386suKKIQn2z\ndEHO7OiY8NyL+eS2PX1EZw1vfPEzsZ3rc0IQ+fTircUT0mXRe8mMAJnnL4AyeLYJRTDOo/5v9t4s\n9LZtz+/6jGb2c63173Z3zj23qdRNqyASCDGKCREfTGwQDIJKHgJ5FUTU+CpCRBDBt4APgj4YiDFK\nQrRIZwwlZVKJSYqKlbq3zrnnnN3+u9XMfjQ+jDHH2udWUfeUhqOUe8Dh7P/e/7XWXLMZ4ze+v2+j\nspT9Gp4vT55+X3A69lHq/9Upc51TV2+X9DNff3ytCV0IkREm8//Ge//fxb9+I4R44b1/JYR4Abz9\nie8jxdlLe5yx05SUXzbTZFrw+Q+C/4m1jnka0FLRRMhkIebsxW1wbmZc1ydetPUemel0k3SnPfOy\nkEWz/7KsmGICiYj+JNYatnVN6mAqhVKwj66Qm7ZmmE6IVRAhBNI1sF5gZzFCIqoycal1TEpyccJ2\nZsELnS6QzjOEkGnr7ZcZIUPQA0SnRDw23phaBSfA2VqaGCzrdUFdlwnLr6sycGVXPxlrKcsiQSyb\nLGOeJh4OZw92pXsUPikRqxiufPYecUzzyMvPX65XECkgW721+4H9vCQITCvFYi3jdIR4zt3xkYtp\nTJ+h8hqhFVkMIaFoqS+v2UYVbd1u8MamwOHxcE9ZFOTx9y/amqoqOfUTefJhb/Eq5MuG+yBsjdcF\n1IUGAz8+1ufJWMv+8MgyGS4il915T1aUVOvCbS3zMifRj5N9UPet4hvvaLVO3HdrlhBoISRLXCCb\n3RVmOeOySmrGvkviqs12Rz906f71ztMd94k3PRmHenjg+um3ALh58S2sB73Y5IGks4xyXs4mY0KG\nkPGI0wuVobUjT7mx68IV7rWiqLDWMC5zWiS8d+Ds2eNEqrAyx0X78PBI026T73hV1RRZSRY/Iy9L\n9g+PHE/71Oyuyoqyqtmk8OUBWzVsRTj/yzQxRrdECNkHdd0wxSJGa8Xtu7df0S8UecnF9jr5x0/L\nmLI/Ifq2KJWU0c23fwqlMj759vcBmJeJ2zdf0sUMgS9+6e+zv32Fx+MiQGqdwC1nh8yiKMkyncR2\nznqGaWSZV5qiINeKLh7T6dil165DIL6SF+wJDdL/O5miX4flIoD/EvhF7/1/9t4//Q/AHwX+ZPz/\nn/tJ72UXw5c//OXw576nKvKQXkPgumZKpPSO2Vqc9yzv8UadC7KNNWRXZgqJwMwBI8tzTVVX6fsr\ngpRfrIFH1mPtQl7m78lsHY/HUzK5l0qSaZVUnp4ocokLj5OSxZEMf4R34IIVarYGa+g8hCGs2GdZ\nIoRJM0gmK/KywaybmkzS7w+Y+J7zNLEsS2pKgUD4kDTzNoomyrok1xqxPrg4ykydQ3eNYeg68nhM\nPs8RUnMRJ1bvHZ4gcFrFSgLB4/1jYgl9/tnnsUEUPmMY+68YCo2LZXxvERFKoaRAFAV6VcYhKTc7\nZGx6bi+fsrl4wmbFY6uSLC+om218D8k8dmgZjlPvdnjv6aJJU/P8OVJI6oIUrKF1TlGWydLYO8s4\njdg4wQtC7N+Pj7Xa1lpzeXHDu3fvePlFcIncbLdsthdJC+BsSG9P92JcNNaKfBW8jFPgZudZjlSa\nOSpI13OeV81Zlm8X/KLOuPw0kkmdjMr6/hiasG590A12XhiHMMkdH++DCrYozva3XQgoXm8ta0Oq\n1DqxGWcRTqRdglCCfhzPk8Y8IaVk0245RP2BUjI0RZOCdY4OhvFZNTNy6hOO7GMIinfRFlhpri4v\naeqaIV6TYRjx05wWK60z8qJIlbDWGU3Tnp/lTOO9YxMtO7z3SKXThG7swjhM3H35GfPq5KkLVKa5\niNoC6104HzKK67zj9t3b9N3bdsPH3/nptLP75Hu/De8szsPty5De9Av/x8+iELyMYSqz7QNZY+XH\nz1o7ZroAACAASURBVGGy12kxDEXmisFb5wOjh3NFvoqU0vyddOvniv3rjq9Tof8+4N8C/p4Q4u/E\nv/sPCRP5nxZC/DHgM+CPfO1P/TA+jA/jw/gw/pGPb1T639SF/+0/HQx7qioPdKrVswOPeE916FyI\n61J59t4KFuK2ilVpJ0IFsn4HrSRVVaWsPikk1p5lurOzeKlwziRpblEW4El2mEpJ8rxMwJVxhqzI\nU26pkiL+TpG+B4vBWZfsXIUIVZ+S0aBKBwn3ygIQQoTvFyv4ZRyYxzHBJ7lWLNOc6FNlVZPH7vla\n0RhnsdadvbWtRSnF6hGEkCzWkKUKSH0FZ82lwHtQeZaUhtMwMvRjkqYvy4zxPqk4m7rBuTMjdn88\noqqzv3RT1ZRFBXnGZYQFtBA0myvqSBu0BE+b9biKskKqnCz2NMbuiBl7VLZaA3isnc+QjcpoLy8B\niY6ycWMWtrsL6jWooyqZxikdp3MerWWCBH7bTwVF49/8Oz9PvFHYH44cD3vUipFLyeJJHHvhQ3CH\nSWZnA1lZJVWnzFT8XvGYrAuSbufxZmVEGPAu9W9ynbMMR7pT6J3oLCNvdkyR2dG0LWYeU+V22t/T\nPbxNdMwX3/4+m90NZd2koG5jTHgOIk3U+2A8VsYdp5CS0+mY+PNKSoq8TDj9MI1orc/ZswQ2iHPn\ne00I0DJLMYJSyqAIrla4ySPU2dRtniemcWQxS1L8ZnmB93Bao/C6HqnOXu+CyNB5D3XIlE7nP1Mq\nstgiH1xJpnnk8PDIY/R6f/vmJVJKirUf4z11u00Uwk++9TFKZQkz74YO5yybqDS92F2hM40zNuy4\nCVDQsizp3prmmR/8wt9KNsrHu3e8+vLTtCsTBCbRuvP4mb/2cxxPI4txae4zPlJQE40x/nllJAef\nl//vSf+982kr6K2LXsFnD4r31xZnDMY4zGzTBsQ7h85BFhG6KEpyLRNP3RuLE+d0EeM9czSgAvBK\nMg09UgiaFXpA4KUgiw9u2Lb71DjJVR4aqe1ZfIAQZ4oWoPIyeGPY1TNdobV+jzY3p1BqiAZWZjmr\ngCK3XsTfsYtBClIwwtSfMEtGWZcodz5f8zQkalhRllgzp0ahVBK6U8KVF6OYlTnT7MaJPBo3PUa+\nO8ZR5HnaWudFBdOZmtcPPVKolGlbNVva3TZBH9uLay6ffoTSOnmFrN94vcGlzhj7U4JAqnaDt0sy\nrNISLp5/K/mpz/OCEJ52F2ily+yQmcJ7n8Rd1jv6YeIUv0ddVxRlkdKapnlinheG6dxEBvjd/8Q/\nCcDP/92/Q12X8J7463Q6sswO69dFNmeZ58R1z7MMkabBMFln8oyhl1JhrQnw2do7IQsCm9jEn4YB\nIRVlu3rQBDHPGgYydEeGU3/2CckrLJrDyx8B0D3c8/x7v53vfv930r7nyDjNY/LwKauKSjRn58ks\nw3mSCZ6xlm4aE/V01S+ASOETWgc/8BXesM6w2AUitJGXFVrp5AkkEAgybCQSWO9DvoD3ye1z2T+S\nF1Vq3jZPGswyMyXvoR4cCRpd5oXZjwmXn5zFDZbFRCKB1rTbLduLK9qYm/vk2cccHh94/TrAaN45\nbt++StTScRyoqobrq3Bv1VXNZrPl+jpcj9evXvL4+gFrXWrq7y4uad7zCQLYtptkl+Fjr2WI2bO/\n9Pd/Hl1U/K2/8hcAqMqSYzcEzPzMWvzKH3w4ie9h6O//zq8/vtEJHQFTXKkMNtwoyQdEoZVMX1Jm\nGu8XjLGp8tW5Rmt1rnDynHm26GivKzNJUdfv4d8eh0/deJlryrYly3WaCFc8U/rzcUipEhcbH0QQ\nm/o8AVkhUvWdFzl2nimKgjk2U3AOYxZs5NjO44xbpnNyjQoN0ilWbnVZMJslYcDGGjKlkxdJ3w9Y\nY+i7gTpi0Vldk9V1Mi9yeKqiSCpa5z3jMHGMVNFNVXCYJto44ZdlSa40dw+PZ7VpmTHNU8Llhy6k\n8og1+UfmqKqhjtfj6sXH1NtL8rhKX908Z3f9DJRKN6OQGqVEqqYf7m5pN7uUImOXAZWdTa7qqgoB\nH/FclWWwl52jhNO6mU17zbJYYq+cumnIiyqZWk3TFDBaAgZcFDXLMqeUqR8fHuiOx3C/xInt+uop\n0zJRxgmnOx15uJ/Tbs+YwHpZdw7DEHoJK4dcAHW7DYtbXAGHoWe7u0wsjHkMhcOahtXv95RFyTyH\n92ibhjrXDLF/MA099eaSu1dhQr98uuPy+glSZXi58t9BmDMbeZ6nIDqL53MxM1KKFDMYXqMxJpy7\nvu8xxsXghlUBPFEUBUsUSJl5wS4z/jynoesG72KRUwSvJBcx9KYuKbKnnLpT8hJCyLBgxd2IykuK\nojg/61ozjkNaMAOXX2FXVVaa5FZyg2MaZ8qqpI2itO12R55ltFFdOvYjxizJoM4RzLKOh3AMh8OR\ncZxSgpExDq0zFjvSRyLGcmfQStFEPc3l1Q1PnjxLQq5hnHDGJ7+d3/PP/vN03YmraE/8F37mrwc/\nGZnacogop1oxdeFXa66vYuxfZ3zwcvkwPowP48P4TTK+WcgFUhiwRpAreaY2FTnOkbBApTTFrgqV\nZvIN9ljvmeIqLZWjrIoUn6WyHKnzFGosdYY1hm27btfH6EQn3/NQD8qvtRrxKscqSbluYaeR3Xab\nrFqzpkVbS78Pq/rc96gy4/D6FpbVhtNghiFVnUusCtZAhlwKhnFCRMB7nmekOMt9t1WNlCQ/7zzP\ngze3tWm7GPzkffL56OaFU9zsQoCsdKYp9Mq+CLudx+ixIr2nqkqqImeOVb71MC0uya91XrBrt2xu\nnobvXjQ0u0tUhCEurp8gixy9WhxIzThNZHmWIJSL6ydY5zkdAq6Z5SF4+fIqyNtPhxC2vNomOBPk\n4StrYDg90l49PXvBzILh1CGlTufXOx97CNHKtgz+6qulweN+T9+d0jX+8fHm7Vvwjkyp5ORpXIgW\nOz6G82WdpazqpJpt2w2TkEzxe7btRcCA487PLYb9/iFiwiuV1NFZm/x0qrLAGYeLNCxrLcfjGd/u\nug4tRYKvinrDq89+mTJivMt44uHNFyA1V0+exfObU+Rnxo/znnkM4cjxZCG0SvdJYO6QsOjgfzQw\nDF2Cn3Jd4JyhSjTRJlXSEOh+clQJVsvy4Hdf1JFx5Rxm6VFSoSP0E1hJC2++DOwRxJG62SaoTSpF\nUzepr+TsgpI6eZdba5FSfoVaOU9jpDXG48gykBIVe246c1hcCtHAO5Q8B8K3m21QMcdreDyd6Psj\nL54+T/eaFILFWe6jZmRaJi53l2knl2kdqaqRptgd6ceZ//3n/rev3HNfISJG2b9/70c8SeX9G0Bc\nvmkM3aXJeHEOkRcp6GCYLdgleVJ45xgOHUiZZPhlhD3WwIqsLsOJXkUsIiwMq5TdzCMIyekUHkK7\nzIzjECxiN2HLVJQ1mcoS3q3yHPIGE2+k5vIq8OfjRLo4w7J4fNy+P9zdM73u0BjEmoSyzJRlSRNx\ntdpbunGkixivd5aqyBOOL6SkrMqzZ7INARH702p5qtBFxqmzyatZ+oFMkCwI2ojpqbW5OIew4FXG\n/PjwyKYq2LQx/MNYDALpFYNbOfUOlZXJK2d3dcXl02+91wxzZIVms30Sj1vRNpvUSBQiLNdZVqTr\nOM8jZp65fhLk2F13wJrzAyEIi+bqt6GyDKnPD25RlFRFxSnKt4ehC+IjoZLYa1oc8zKhs/MEsiwd\njY+Lslk4dSdOq3jsx4axE3Vdczwe2ayWD9agsyItCn3fMQwdu4jL99OAEvIrvH8Vg7wBFu/Iipr5\nsE/n7+7uHW6ZySJWtL+b2V3ecHERfWqunjBPQwpDQDjMNKQUr3mauLp5ijkEjUSuMy5vnnF1/SRN\nSviwmK+NvmHoWeaZU3f2ABJKJsir7zrKokh9EqVCmEOmc/oolvEm9J3ub4NXfFdWYcKOfZAyL/CF\nS+Z0p+OBZrNNlrJKBjM8IQUqPjfjOFCXDd/53k/H++JEdzwyjxHLz3IQMgl4lFJ478hk9PwxSwhb\nic9l1bQss2FZZg4xMDsrCrz3qRcwziPjOFHX8nxcZZ0sN+bZoPOMNsIpT58843g8cjgcOJzCe+42\nDZt2x9NoVLYsC113SpCWVhqlFdKGz2ia55hx5i//j3823CfGrktpuv8ChZHEW/QEuPhXQexfY3yj\nE7rzMK+MFILxkbbnpA+ExMcJKotYuVZ5crjzQiGEo4oTZbPdMSxngyQtBMIZhI+sDes49Ue646ri\nsuhM02QZWdHG97hAiuBZDtEtDYGOHft5HPBS8m4fcbWhC83X6DPurQO7ULYVasX/aUKcWKxkPfDi\n2VPu4s2XZyGoYJxXj3CBFyJVI0o4yqxARYfA/tSRK0WTZwyxIhfWo6oyTSiL93hrE+vi1M94Y1Nv\noMhzrFC8uY/nQsE4TGzalqvLGGycZbSXVynsIytClNzaUPPGkud1ajrXdUvT7lJD6Pj4CEKwTD3Z\nGm6Q5eR5kfykdVZiTJ+q/KyoyIoiiTk8MAznRqzONHe3b8nj5NHUbVB1OkcbP3eYRqTSyZslyyuM\nddzdhonPGovzMoVs/PiYpgXBSFk2qZm1jBOxhRG+axkSkJZVgJPnoWkfz7eqWxYzp3OligrvLFc3\nN0E8BDx/8TF9d0qukN4Y7t6+DIUH8OTpU7ZtmxSv3hu66KoJ8OT5JwzdKS24OEdWbSI3/lxxSykT\nq8IuC9ZMbFIo90w/9CzxOdtsWu4f7sin6ABZ1WR5iDbcRo8kAbTtNjU0vV2Yl4VjxPY7ISi7KjWu\nsywPnPq1qs0EeZbhydIuSSkVWFwREm+ahqoseLgPC3133GOdZxMbnFKK2LCNxV0VTNrGeL1Oh1Po\ni4kzFj1EAsTawGwazTgtPD6Eybltm0CIey/EZZ7HlSRH3/dhsfU+CbGGvuft2x+y2a46ioqyKFOQ\nuvPgjGOdhn/lH/4Sd4eO/f19+gwpAknAnUF0hCdN4WL9OZXx/mvP6h8w9A/jw/gwPozfJOMbTixS\n7CLtS8ogiS3jNlnokPdHpA96a5Ba46RK1cSyGGSW46ewrI/7E3NMU4FAwWrbNgX+ZsBspiSLrrXG\nR+y1j5ii93tU1aBdxBilZB4nfMS3PY7+4SFxg3dNjRCWYVltNQNjBONoomWmjKHSK9e6aVrwPlnE\nLkug4um4/dRSIcxMsXKehUI6yxhlzk1ZMk8T0jpUTJc1OIZpQa6RZ0birKGNsNSmUizGsdgz19UC\nsoqQlneUdcliPIe1bwEsk8VGx8vCGIqiSAkwkqCE20XP6t3VFf3xkGxSsyxD64xZK9rNRbzqnmkY\ncMuKNW8Al+yKlc7ouo5D3AFZ7ymrNrGMhn7CDkc+/l6wag1qSkleloyxskUq9g+PqarPC4Pz55QZ\nj6eucpqPP+LXGm3bUFQNZjKUbTh/U54hZZYCm7XKsXZBRx+Veegoqyr5rK/wTx+vWV3VoccxG8aI\nu0/ziIMkE8+K8J7rTqNtavCWZY7Okt2J7viQ/OnHvmP/8IbuMVjIzqc9eR4Si4pojSAFGO9YXdiz\nIsTvzfE9jbU07TYl/3THA7nK0vb+eDqCD3DESve11vP4+MjTZ4GpsVhFUWZk+co7DwHQp2jJK7Vi\nGgdunqx+fT5dqzVz1XuPsSa5LQpgu9lxtVpVLDND16VrWGQVszlDjm2TRS1IlOCXJfM8M48DU7y3\nzDxhrWFYM0IXQ57n1Jcxlco5Hg5HdISWTNz9vnoZbqTr6xumcaCo68RE2b/7ki9+8A8Y4z2/ubzk\nd/3u38cPfvHvhmsyzdw/PvJzf/2vAvCjH/6AoR8ThVPE/6QUqZpWiXMeNTj+jKMTX+W/Zon+jU7o\nQVATP1iGlG4Zt+Zaa7IyS3mhowsT1ulwQMvId80LKn0ObJa5Jmtbxsh/9WPPMM/JaGixIXbZJ98W\nUHlBfbHDxtfMxpJ7i4hbv1zVXD99QoTAOD7eIb1hExs83lmcmSnimTPWMo0zSkgeInVJKck8Gaoq\nChZOI0aKRInrTye8cMlYH+8ptKaMvYF5nNFKpOZZrybGaWYaxoT3dYujLvI0GVzuWmbrmeMEfhoH\nZmMYowf7NE9fybfMpUTqHF2WCQNv8xIh/Xv0yorTqcNG7vv24oLNxRVdNMrqjvsQfVevnHOPzkqk\nlskjPS/yYPAVj3taZrwXtBfhoTod9lizoOP28/rmGcaToA/jwWc1D3GbXOQZWaYC5TPO4HWZI3bb\n9LB7EbDh7boQFQrjXDIq+/HRz5Z+3FOXFZiVQqbD9l7ERrezKK3Z78NxlFWOVCLBEFJp+nFKwhkX\nqauP+0e6GN3mjKHIFNu4IFbXTzkdHtCxCWpNgDE2cTHMlE78Z4D94x3DMPLuzetwjB7cL/1trj/+\nHsU2cKerqkUXZaLEng57sjxjuw0wmkPy5Y9+kBaiaQ4BMGt/ys4LArB2ARnhIy0RQvLZpz8A4PlH\nHzMaQb2Kl0YRRFtr8Ebk0699jywPsJtxjimGQldVDTpntw33/PF45N3tbbJjyLRkt7tMQiIpJa2u\neNiH9zTLHOif8ZpmWofwDCGpImVwv7/HDUOiSp72d3jnU9PTI2g2m/RMOevpulNq+H7++WdUVcVm\nu6WKkN/u+SfcPPuYLk7o716/5Od/9m8wRIz91ae/zOt39xxij2ieJqw7B39LJVBosGdNCIpfZdTl\nAhE9Huc/Wun/P7IhlUodeikcKsvSzSzzjNm4tJILKZmmGY9PykUlBL5tky/IJCXzYZ+8hqVZqNuW\nzZqKkhfoIk+4ppAKWVTMs6GMSs/2okGIkOsJ4ISm0IJlreCtR0nFcX++QALBmFJlRrSSnI59auBc\nbBqyIk+ce6VEMM+KGHlRlsGgafV2yTOmxeCGcKO1VYnSKjVJldbUTc1xcBR5OF/fuXnCfHjAR7x1\n0RUvX39GvwbeFhXgUHGCV3mBnE1aNJTOGPqeoe9TyEBZZGRC0q3+0Y/3XGw3lHoVWV0iIPH6HZbN\nZoNZG4Gzg6XHLRNFPBeXT5+D1JiIX0sVGBZVrCj7vg/JS/H8Pzw+IKUkxq+yaXd0xz1NGxaNZTHk\nOkfKs+e0d+FUztHnuutOZFWdQngzIVis5Xg6i7veH5nOGPojw+TwQ8T2s5J2syHxnF1gi5SxADGL\n5XTcrznf7La7cC7WYmKeWJYJgSeLPu2Pxz1myTAuNBdvbhzPnj5PD6yzhk27oYyL9Jsvv6A7PrKL\nDTgrNbd3d2mSu7x6TrvdsUwj2dqPKSoUjifRZGxTN8zTwhirUJ1ptrvL5FGT5QViE74PwHGamaYh\nuKH6yOufDRcXN4yr4+jDA3Xd0MVFN8+ywCGP19AYj3cLRp0JEMM4gfCJAz6NPTYysSDk15ZZy2zX\nJv49nThxE7/74fAYmvxxt/LYdRxPp8SsKcqKZV7YtG3yn7+8uOKL/Q84xvDq/vGe2Sws4yleU8mr\n8dwot15QXdwkA8GhPwUGUFnz/Nsh3H4aOj755Ltcx+P63m/5rTx7/hwdlc13v/MVx3Hki89+BYAm\nz/nzf+ZP8+51zFIdJ6ZlQaAJ2UFxaIlYd9PxuV/JHbivz0X/gKF/GB/Gh/Fh/CYZ3zjLpYs428XV\nJU5lKf/vtL/HmHnd8WLnCaUV3rnkEaGaCuzMMkfes9ZI52jjlqnMG+qySVVSUVYgZKItiULTlBpV\nVfhYWg3jhBOKu/twXEpIhuOBx4d3QEhst8vAEilvbl5wy5Kk0taYmCQenOsAjn2PnieqaCHbVCXz\nOHKKFgV55AErF/+9CDBCVcZqpSxRecabd1FF5+HJkye0l/rsEllUiKuaV++Ca/F8fMQXZaILXjYt\nTVUlPnhRVsyLwUS8fJpGpOspsywpbUfjIVfobHWf25FlKuRSAne3b5iHgTrS7p585/u0u5sEC5yO\nj0zjiJSS5nK1oQ1005VF5KwJisyIjQqdMXRDSmKSSmAXk7jwTQuuqri/C9+zLCrmskRJ0nWdpwAn\nPUYcXkvYNE06V30/0A89Sv/at3td1UgEdV0lhWs/hN3LSl9VWjMbSx/hJjxkZZ4q2/3hQNNskuui\nygO/udAZpxRF+ATnHUOMznu4uw0UwuycsCWkTCwM60M+7esvgjJ0niekm9lG+o2bDiyDIK822Eht\nFO0GO41J7ZtnOfMw8uRZwLO7rmeahuQ/3/cdSshE+bx7uE2UxsfHwMwoyzzsnGM1fP9wx37/kPx5\nBp2T55qb66BXWJaFtm0TZVZHemd/OiSW0DL1zOOY3Cqt90id0UTNSNNuMIthf1jPhcXj2d+Hn6dl\nYndxQxbvd53neO+Y5jk5ST4eDlw+/Tj2bQL75u7hjtuXwQrg+PAu+M27s87l8ObzpCUYF0OeV0jh\nGR/DfFBfPOF0/y550n/8ve/z5MlzijhH/dRv+R3005DOYd00/OtPPmLch77H0xcf81/8J/8Rrz7/\nEcS2ncCyCIdL9ODgQWXXqlwKvmJz+uuMb9Scq9q0/rf8478DgOn0CM4nHmkIt9WJTK+yDCEFdVlw\nEelTbVkxjT0y0qGsDbjoesH6rmM2UxKltLtLhNYJj+3HkeF0ws1zin/zXoFdEofcGhsis9xXzXhW\n9NVMUzDJisfZNhV5kaOUDLgjsbloDEXcTkohwkOzypozjZRns6iyCoEWKx2tuvyIMgORhwdXKEV3\n3NOPMyJCLEVV0NQNY8SNay2YljkFAuyPB6q8TIKHYRxwznN7G/DX15/+kH7ukVnGJtLNrp59i2a7\nS+ei1JpMieSJopRCCp3omHlRsN3uAh8bmMaBerujLOtET7PG0Gy3lHXANcdpjCKXcEaVVByPj/go\nPX/+0ScMfZh0IIiqpFbJ/Kjve+qmReksNValkHSnQzJQch6Oj/v0DGRFzmJNMn4ryop/41/5V1nH\nf/8//0/h74syUU+FCN5CKQYwyzBuxseKY1pGhA+e5gD7w55cZewip3ycF9rNBmtM6jncvvqCandJ\nk692xcGAa23qT9MYaLWbgHfvH++Z+o4+Tia766d474PvPfDqB/+AsmmRWY6IcMh2d83Vi29RrL2p\nsiDTGV0sSNp2w93dLRfRr6Qf+gCjxQVhHAa0zrEEo7RwvkoO3Zj6A9M0UJdnq4XLiyu898xmhdVy\niiynilCec47j8ZGPP/luaooe9/c83r1mjha9+4c3dIcjLsa6WO/YXD3h+unH4bi3F/SnIxc3Aep4\nPJwC9BcXmU3bIqRE6yzBOF3Xhd5RnOG3uwukVGfpv4P9/oF3b4K46XD7mqKq2d+Hybc7HWk2W4qq\nYRMjKsuqJiuqdE1znbPYJS1E3/r2d6mqOkEkdVkzL1PyEdrv99ze3VEL+It/PjiO/9xf/2shns+e\ni4lpMbiIGS7OMy72a5lzfaMTetE2/uOf/jYQAhmKvKBYG4PWUDY1flWgaY0uCszQoeIF2G0D5zlL\n/OwjmdaIOGlZrRBS0z1GFdds8NOQmqLGTLjJMHXDOYxCKowxqUma65AKvna8x2EIYc7rg+4tjVLE\nIpY81yilgjNkMuMyOHdWBCqlyXLNLjIoMhXc7NYgg+riCUWm2EShkSwqRu95/R6PelM0PP/oGXl0\njtO5jruJcPPhHU+/81u5uAg3/PH+FmEXNjGtZXPxhGka+OyX/wEA9/fv8FKilE5CLZRmHPrk1Nc2\nWzbNJqWvWGMQMfgBwC8T7e6SLJ7L3dUNdd2i8zwJxmYz4QzIVc0rZayCw7mZponZnBk9bax01gf1\neDwEBsnK8ZcapGBZ5oRNW7swjnPyoHY+GJqt/hp13SCFOgumLi/55/7pf4b3x8/8jf81NINjdVdk\nObrIOcVqWthgErc65I3zyOHhAR3xVqWD+2Abfd7neUFrxf7+IWG6YQfToyODatNu+ejb36GLoSPW\nGSSSi8gOuX/7ivs3X9JsotJ5WtB5mRa725c/IsszTvsHLp+G6lg4DwI2l+Hny5tneCnScSMlknD+\nAPKiDItE3Lk5IZinMTCDYpVZVhUhNDr2rsaRxVq6OOFPw0imVFKnZpmmLKtUnFVFiTEW5y1X8X7M\nVOC6T3EhOT48MnaHhHcf794xGJN89Z31VHXL1bMwwZtlwskcVs6+8WRFwTj21JFzr7P4GfHeEvE7\nrCLCsgihNKs63VrLMI4pfciYhXEY2Wza0HAlzEEen1hDQ9cznE4pPLwfBqx1bHdrNm3D5cV1us/a\nTYsQAutcYgVt2wYhJP/LX/6ZcG+NI3/hz/4Zhtg7FELyd//eL36tCf0Dhv5hfBgfxofxm2R8sywX\n77iKaTgX203oiq+5j/UFXkuK1UNFSia7IIVP3uPNbkeW6bTFb68qvFb4yPzIigJvLHbl+c4G03ew\nrNJ2gxAKLbK0nbTzgrUkPxJjZrrTMSXTVHVNg0OuUXnTiBAkDHgyBj9HWlLcr/fDTKVV2gWIUuCd\nZIr8+TnLadorfBkphrdveUTwKuV/LlTNJsn6JUDZ8ObhPsFL/tUdICButfO65fj4iIxrtD3c8dFP\nfZ85YtdlVfJ43LONFVLdbJjxGG8Ta8V4iy5r2rh9FM4xDwPbiwABPLl5gQBOEQLI2i27i5tUPed5\nETy9dZ76CTrLkErz7ja8pmkaBOeKcLO9YP94T7NGqOXBZW8aw7/PwxB2PqvznzeM/UI/DhRZ5PbK\nwI9f1alYR9FsaONxT9OCECRb1Tx/zyYwjrIoQuUfPxchcPOUdgzG2qi6XPNXBVLp5E1UlQVFXnCI\nTn1SafpuZLITmybmpcpLhv7IHGGyIzAeD+n8emepq5p+WB0JFU5m3EdMPcsytkWeLGezvOS0v6eo\nzk6H1gvG455lDpWuEtDsLte7iKJuuH33OvkbKRVzd+fI/Jhn2t0Vb19/QRFx9X4YGOeBujh7uQzD\nSBMx9IvdJdY6+vhMaal4eLxlt1JTuxNN01LndYIIOzdEVlD4qlW7ReqMJ8/XCnzh8f4trz4PIswv\nfgAAIABJREFUbJHHh1usczw+hB1pqRVZs8VEK4C82SCnnnGc6Fe/nd0WKVTyYXm8vyV/L91ps9sx\nLwsXURmdFwV5liU/n9PpSFnVjEOftC3jGHYjKQ+hCZqJFS65ut4w9B3jqnz2jnla+OhF4PBLgqOo\nECKpeY3z1HXJ7/rdvweAm4sd/9Qf+IO8ehPYUHWR86/9oX+RrzO+2QldCJoqWt9WJfVmi4+T75Ll\nYBbmuNWepgE3DlxeXHARb4xkVRqxJac11jpU7Cb4/QB2oY30qRlBZwxFhAyaegMqjxNfjIfbhglm\nFWvgBrSfyCOmYueZaRzpVtkzcDr1lLExeHm5Jcs1RaaTAdLlzY48L1JAxfHUsdttcMnzJFC/logX\nimrLdrNLUuDjfo+bR14N4QGpmgqFobEwvwt432Z7CaZnjM2Zzlpuf+FvU8bzWWw2fCYV27ht/ku/\n/BfZXT1NoovCO7rDEZnpJEXfbTdIIYkmwFxc3VA3TeIoO++DPWmkbJVZwUff+jhdX6WzkLupdFoQ\n8YHCtzZOnfUIKVM4wrIseC+SPN7aEmsMLvYw1q3sOYdRcXPVYswFxy48uCrLGIViiQ1gT/AaX6P0\npJTUzSZpHJb3rGPX4b1HCUUZX7PMM8KRvMutmYNwZVkjEy1FWaYekMczTn3qtdR1w3GeaJo6WTXL\nTLK7vEyCkXkx3D7cJ854u7ngcDzSR9roOAxkRYOKE+lw3DMbS7uJHipVSV4+AyRTsm72lHWTzLYe\nD3tO45yanhfAdnvBEK/5uB8pmw1tpIV6W1LVFbvLK6xYxUdHyqIki1xs4y2bbYNfG1FSYK07T4Td\nie3uii56EeV5HiAW5xK1d1tteTwe3guF73n+0SfnhuTY89HuiicffRI+0xj2+0e+/OyH8Zj22HGm\nP8Yo47xAqoyb55+cA9yNZXYzItoRZ3mgSR8OMXfg4R4lNV9EbUG7vaCu60QsaJoGBBQRuoFzWMVd\nXFjyrKBpGrwJ7zkNJ548fZ6a686H3tKqAVFShmxTrXl6FeY1IQXdMPL8SWwqm+AjtFp2r0HlX2d8\n7QldhOiWvwl86b3/w0KIK+C/Bb4LfAr8Ee/9w6/3Hh5Y1kzGTNNZxzyFB1luJDLPsGuSvXVIEVwR\nV3EMziDKAhthdj/PSOswscL0S8hD9FPkuvY9ylmOkZ88aEmRaaTOkxfDMi9M88QSq/ipG1CKcxNu\nHOlOXeKEZ1JS5TlZxPq98SBhGmfmyNixfmanSlTEY682W7q+Y5FnJ7nd5TU6Tmo4gVGa15//MH6v\niWN/QseHTHjHm8d3tNstNopKxh/+AKoKtzaIl5mlG2hiFVotE2Z/jxRh4dkIybuHB8qIOxeZpi5L\nKq1wXWwmLguby0vKNf+zqVCStPjhDc7ObGIPY3d5jTE+VYzD0LNYwzB2VDFlXmeK2S5poqyKilPX\nM8YFchxH8kyRR3xbSUVZbMimiNdOQ1DZxXPnvcfZ0KirI7Y8zguzWdKEMvQdeZmnxlSZF1izcBsZ\nE1L8atfFaZqQZkmumnXZoHWWMHRdVZxOB1bi+SIWxmHAx0WEQqBynbQFQ3ciywqWZaaPiURlUSBR\nyUhLKoOzhiWyn+RW4szMNvp3KyVoVc4hOj5ePLlhf/+OMV7z7fULTv2Jh9dfEDepbK5uGLsj9Sbc\nO6dhQmcZ1qx4rKDrOnaRkeLMwqk7pEXOu0AKwFtMF/NRpcKaCSXPkxRCouOHlmWJFOeM1nm6wFhL\nH3eT0zjweHjgo2cf8xD7W3leUGTqnK8qBYud0w6oqhryLGdYnRLNQt1sefFR6MH1/cDD4y1TxLtf\nv/wMj+L+7ZeI2Hi9ePKcut2m4mIYjihZcHN9FX8eGYae/erTZIP/uY78eak1RVbQ3LSp6n/fJwdC\n49VGERlA27a8evUKER00t9srhr7nXZxPTqcDdd2w2WwT60oiWZyhiQK9pip59I5NJCOsOpqvM34j\nGPq/Dfziez//B8Bf8t5/H/hL8ecP48P4MD6MD+P/pfG1KnQhxLeAPwT8x8C/E//6XwZ+f/zzfwX8\nVeDf//XeR0qJjCyNYZjwzlNE+lRZZFRSMsSKp3cTi7Esi0VEzFNsWqZ+ZI5Y3XI4Ysch+R1Pw0Re\nVgzDyrVeUHVDHn2yhZKBTWG7BMNMxjAam+KzirrCTOOZf6xCpN2a1rIQbAtWNdc4zTgTOLIffSeo\nybrJ8tgdzgk5TnH99AV13F5KKRinOajnADP2XD55iorY6XHoefbJJ1SxUr66uODw9i2HN+8S79mJ\nDOskOl+l4RJVSWyEcWYrEZNF6qjWyzJ2Vc0mqhCFklxe7JiHnpsXweOk2Wy4un6S+hpd1/Ps2UeJ\nZeGdoczLpI40zrGMR0zE8ed5RirNsixMD3Gbm+XkWcb8ngP0vEyMccsf2BNl8jdRIuyi1qrf+21Q\naa6c89nQdz19d0cTK5iiqLjcXuJZfT9UoK6u215nUTo7qzzNr4Zc8AL/nvfN4/hAkeVp6zybiaKo\nUXqlTx5xJiOLMGCmcxazYES8j/KSfjihpKSJW+e6KlFKJgZVtoTXtVGqrjOFyBse3r2JVxTqesu7\nMeDhPi8Y5pn5fmU/zfTHPbvtBWW0fLVmot1eMkdl7qbM0FXL0EfJvLMc9w9JaX68e8Pl1RUi8sN1\nljN3jyzTSPdeP8BJhRnDezTtBp1VNPG4ZyGoypop4sxSSsoisNgAXLtDasU8DXz3pwKtdhondtsd\nh2Ng+GzaLc5aigiXWGvTjg8CM0xnRUpaCnDghjG6nj79+DtM08iPPv2HFBGGPHVHlFJR8RvoqsPY\nMcRqu+865qFnE/9dK8ntuzeJoVXVNVmeh6zYWCWXZYl1NjFlirKgqmv2cRc1dCfKqky7guPxAFJw\nvAvXrGkahmGi67tE4azygna3O9tlZAWXl1fU9XkX+3XH14Vc/nPg3wM27/3dM+/9q/jn18CzX/Wq\nHxtCKYjbRd1UqKpKnGflNeiM6iJuo5Ug0xfIuqKLW9THd28Z7/fYeEHMMqMWwxjNpHRe4E4dQ8Q9\nM60Qpz31iod7Q1PkeOeTje/heGBaluTH7ZclTFRrw2Ix9MuSGrFlpskzlTjNeb1BLCPGww8+DQIQ\nrSSbJuQTAuRaY71JWZwCgR+OFHGOu7x5wovnz/j2t0Kw8jTN/OzP/xxlfGCsLrm8ecrm6ppTXHg+\n/fSHIeZqvSm2LTrLsXExW/YnttfXZFHchF1CYHAUM9VlS5ZXbDYbrqNMXEtJoRR5PN9FVrC7vsGl\niKwaO0+UcWsoZYgRW7l+zfaC0zAwjCdsvK4vthcIJbl/dxvfI8R2VfGhU0pS5AVZ1qR/L4oshXYD\ndN2IsauZmifLckZrOEWMdiMEWincamHqBPM4p6jCMElkTDZaFpx9SdOwy4xUKoUUh+AHmTJZdZZj\nlhEVKYdShNCFugn3q1QZcpZEtTzDNOBiUPR6fqZx4Or6hlOkvAmlcAjuXoe+SNls2Fw9TfL22Riy\neWIbe0gPt++YuhNlpEaOQ08/9Lz69P+Mlq2wffEx/buXPP3OT8drmLG7tmkC//IXfh5dlnz59svw\n72XOZ7/8iiIWTafjI8452s2WKUKVWmuqpmYcwuQ773OysmFYaY1Nw1BvuIpBKKEeOIfXWGNwSwio\nWANDijo0f/t4DaXULNaQl2sUYbg/Vj+eAHmIBKOd+g4tJVU8Bp97NtsddbNJNMWHu3cszqUQ87wo\nyPKcMdJZzTJjTcYhCqjazUUwB4wFyzyPWGfxviOPRWNZ1Xjnk6d9URQgSIEtWmlO/SktCpvtDmst\ndRWu2fF05HB7i1aSeoUutztO45h4/U+fPqMoyhTC0yavpJ88fuKELoT4w8Bb7/3fEkL8/l/rd7z3\nXojV3PdXvf6PA38cQghuE29GIaGUAhtVcv0Ep7FnWie9qmaeJvSxo443q9mfmLseEyvb7vER76Zk\nNNTbGWE9RWysNF5R5f49XMkxTwPTOHKIYRPzOGPm+T3OuEBpFdRthBs+1zJhe1pJirLi2IcH/3A6\nUWaay22ThERCZRhr2b8LeHcmFdfPXlDlkVsdOeJ15KcWdcOrhzumONHc371FFQV9XFQeX36OLoN7\n38rYkc4zHfdpd1I3zym3W3wdk5iqHLuMbKMK9Nvf/SnyekMZJ6SyqNleXwXcOULkbdPQ1nX6rojQ\n4FrVpmVVUb337yrz7K5vks9NS0iQmY1lpS8cj0eMt+fkGW8ZhpFjbIIWWc6zskye9suy8PD4kCYo\ntXKJ14XKLEH0I0SqnvfHPU3TpNxSKSVlWaZJzFnPMB3Od4E9m5St43Q60Y9dmtiapg6JOHFRWOaF\neZkpVKg6jRMUzeYrza/AdIjMJhbABYFI3MGMznEaP0tMpaXrA0sm+vf308zpy09pojlXXjbc394x\nx93h6fSAlRIXewBLTD8qLp7wEFlEp1/5JRQC/TI2zy8uMMOJzXWot7z33L1+yS4yaw53twgcp3gN\nrTEIQVAU+3DcVVnRLXPqUbjTgVEf8duVDbUwHA+MfZism/aCutlhpvOTt9nueNjvUwauUBPg2UXR\n4OPDI1muyWOP59SdIjvFp2PIyyI1b130h9lHT3YhJd45hBQpLyEvP2EcB27fhh3P2PfheYnPdp5X\n5HmVzLnu3r1jc3HFm7fv4jFvyYuSoiiTcnlNH1vWAO0sC/788T6Y5gklVSpoxmEIz0wsFK4vL5DX\nl+wPRw6Rh971A6fjIe0kPv3sM1589C2KOK+tvlNfZ3ydCv33Af+SEOJfAEpgK4T4r4E3QogX3vtX\nQogXwNtf68Xe+z8F/CmA7eXFN6di+jA+jA/jw/j/2fiJE7r3/k8AfwIgVuj/rvf+3xRC/KfAHwX+\nZPz/n/uJnyYVQq+pHIrOOkSsWo2SDPPMELdgHCz+0AVO9C7GmR0nDvf3zBEP1IXG4bA2VG83bYl2\nBhkrnnno6azBRghGS4FUgn6YOK7ezQQ65epiuPpEn+OfBFYUTLFKOo4TTpdcX8U0F+mplCQr6+SF\nbQ8PTLOhWNNVCk2TOVTcUt18/AlVphh0qAx+9KPPqNuWIW7v2zInz3KyeHk+e/WKRXdUF0/S+cny\nmkzr5Ly37Pd8++YZcxW+x34akSLjybfj1nu7g8VgbZRKX1yRyZxM6kTvc84G3/U1NapoOHUnqups\ncTyNU6L/SanZXFyldHclBdt2g7l5/h40IdBKp4rl4eGOw+mQJPZVrhBK83C/eud4nD+rbG0/sFiD\nW3sasSJaFsMcXfMElsvLy9T3GKcR50l4uMAjhEwxgqs0/P2RlxovqrRdH7q4y1tji0TYva1c93la\nKKs60Sm988GXJQ8V5PFxCtv1ZUzQg3GCaRhh3Vq/+ITu1PEQ/Xi2l9dsL64Yo/q32t6QtxUmHkuW\nVyx9z7tXofqumxZdtlgpUXGnu0wTs3e8fBUglXb/wNXTZzzG1K48z8gzzTT28ZoqpsWy266Wswcy\nKcF7LGdKphQ6QVxaKaRxHFb2GQKh8rTTM6Pj8Higie8phQzqS6mSZfTLVy9xzlC/5+OuRMGrWE2X\nRYn0I1lkbfWuZxh6rq5Xpakia+vEkunHgXmZGd+zMAZBkeV89FGAMhez8OUXP0r+6OO84BEppyCv\naqwzacd/f/cGnZUURU4ZIROBo20vGPu4K91uw+esth11iV1syk6t64phGBJLxhYF87JgjUk07Hma\nqDdb3r6NDLau4+2bN/G94Sr2Gb/O+H/CQ/+TwJ8WQvwx4DPgj/ykFzhr+DJiaFnVsIwDZgo3r1YZ\n/eGeOdKQpLM0dcH9qePwJlhPCjvjlyVNvs6akJ8YfRIGs4AxKXDBAUvfI9XqRazDpGXOEm+VaYbZ\n4JbV3yG075boCTsthm2d0UTjrIt2ixWC27swAWEdVa7D70X8//7+EYfgYg0EkBnd6zc8qvgaclRV\nJyy6zmpamyeu60M/MEwjLn6vcRrxDk5vP8fF5lVeNxSyZBdFEdtMcHj3OvmO101L2bZMcfI4dkcu\n2g3V2hh0BmZLf9qnmC+BpLMn2kSby5MB03ounLNpMtaXO/COOL8z9Ce8zKiKPE1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ZvrK0YzNQ41yCD0bJ1RaBZHxwSRjXy7vufu7ob7vCBxY39ycsxinrGdcuZmtAvVhVFhHNP3PUo5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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2edbb4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Steering Angle = [ 0.11013433]\n"
     ]
    },
    {
     "data": {
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5P2T3w09z5cbTAPzWr/8Kxv5OLKgDVRYUo0mSZtjbmzHbv0JrDNtlWLfWyyVZ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\nVDgv6GecccYZ7wj+PzEBUB8jq+ySAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2ee65240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def draw_image_with_label(img, label, prediction=None):\n",
    "    theta = label * 0.69 #Steering range for the car is +- 40 degrees -> 0.69 radians\n",
    "    line_length = 50\n",
    "    line_thickness = 3\n",
    "    label_line_color = (255, 0, 0)\n",
    "    prediction_line_color = (0, 0, 255)\n",
    "    pil_image = image.array_to_img(img, K.image_data_format(), scale=True)\n",
    "    print('Actual Steering Angle = {0}'.format(label))\n",
    "    draw_image = pil_image.copy()\n",
    "    image_draw = ImageDraw.Draw(draw_image)\n",
    "    first_point = (int(img.shape[1]/2),img.shape[0])\n",
    "    second_point = (int((img.shape[1]/2) + (line_length * math.sin(theta))), int(img.shape[0] - (line_length * math.cos(theta))))\n",
    "    image_draw.line([first_point, second_point], fill=label_line_color, width=line_thickness)\n",
    "    \n",
    "    if (prediction is not None):\n",
    "        print('Predicted Steering Angle = {0}'.format(prediction))\n",
    "        print('L1 Error: {0}'.format(abs(prediction-label)))\n",
    "        theta = prediction * 0.69\n",
    "        second_point = (int((img.shape[1]/2) + (line_length * math.sin(theta))), int(img.shape[0] - (line_length * math.cos(theta))))\n",
    "        image_draw.line([first_point, second_point], fill=prediction_line_color, width=line_thickness)\n",
    "    \n",
    "    del image_draw\n",
    "    plt.imshow(draw_image)\n",
    "    plt.show()\n",
    "\n",
    "[sample_batch_train_data, sample_batch_test_data] = next(train_generator)\n",
    "for i in range(0, 3, 1):\n",
    "    draw_image_with_label(sample_batch_train_data[0][i], sample_batch_test_data[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "然后，我们定义网络层架构。我们将使用一个标准的卷积层/最大池化层的结合来处理图片（我们不能在本文档详细来讨论这些层，但是如果你不理解你在做什么，你肯定应该查看在readme 文本中提及的书籍）。然后，我们将汽车上一个时刻的状态当作一个额外的特征加入到全连接层。层的尺寸和优化参数由试验来确定 - 试着对它们做微调来看看会发生什么。  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "image_input_shape = sample_batch_train_data[0].shape[1:]\n",
    "state_input_shape = sample_batch_train_data[1].shape[1:]\n",
    "activation = 'relu'\n",
    "\n",
    "#Create the convolutional stacks\n",
    "pic_input = Input(shape=image_input_shape)\n",
    "\n",
    "img_stack = Conv2D(16, (3, 3), name=\"convolution0\", padding='same', activation=activation)(pic_input)\n",
    "img_stack = MaxPooling2D(pool_size=(2,2))(img_stack)\n",
    "img_stack = Conv2D(32, (3, 3), activation=activation, padding='same', name='convolution1')(img_stack)\n",
    "img_stack = MaxPooling2D(pool_size=(2, 2))(img_stack)\n",
    "img_stack = Conv2D(32, (3, 3), activation=activation, padding='same', name='convolution2')(img_stack)\n",
    "img_stack = MaxPooling2D(pool_size=(2, 2))(img_stack)\n",
    "img_stack = Flatten()(img_stack)\n",
    "img_stack = Dropout(0.2)(img_stack)\n",
    "\n",
    "#Inject the state input\n",
    "state_input = Input(shape=state_input_shape)\n",
    "merged = concatenate([img_stack, state_input])\n",
    "\n",
    "# Add a few dense layers to finish the model\n",
    "merged = Dense(64, activation=activation, name='dense0')(merged)\n",
    "merged = Dropout(0.2)(merged)\n",
    "#merged = Dense(50, activation=activation, name='dense1')(merged)\n",
    "#merged = Dropout(0.2)(merged)\n",
    "merged = Dense(10, activation=activation, name='dense2')(merged)\n",
    "merged = Dropout(0.2)(merged)\n",
    "merged = Dense(1, name='output')(merged)\n",
    "\n",
    "#adam = Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=1e-08, decay=0.0)\n",
    "adam = Nadam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=1e-08)\n",
    "model = Model(inputs=[pic_input, state_input], outputs=merged)\n",
    "model.compile(optimizer=adam, loss='mse')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们看一下模型概览"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            (None, 59, 255, 3)   0                                            \n",
      "__________________________________________________________________________________________________\n",
      "convolution0 (Conv2D)           (None, 59, 255, 16)  448         input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2D)  (None, 29, 127, 16)  0           convolution0[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "convolution1 (Conv2D)           (None, 29, 127, 32)  4640        max_pooling2d_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2D)  (None, 14, 63, 32)   0           convolution1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "convolution2 (Conv2D)           (None, 14, 63, 32)   9248        max_pooling2d_2[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2D)  (None, 7, 31, 32)    0           convolution2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "flatten_1 (Flatten)             (None, 6944)         0           max_pooling2d_3[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "dropout_1 (Dropout)             (None, 6944)         0           flatten_1[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "input_2 (InputLayer)            (None, 4)            0                                            \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_1 (Concatenate)     (None, 6948)         0           dropout_1[0][0]                  \n",
      "                                                                 input_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense0 (Dense)                  (None, 64)           444736      concatenate_1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dropout_2 (Dropout)             (None, 64)           0           dense0[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "dense2 (Dense)                  (None, 10)           650         dropout_2[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dropout_3 (Dropout)             (None, 10)           0           dense2[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "output (Dense)                  (None, 1)            11          dropout_3[0][0]                  \n",
      "==================================================================================================\n",
      "Total params: 459,733\n",
      "Trainable params: 459,733\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这已经是很多参数了！ 所幸的是，我们有我们的数据增加策略，所以网络有收敛的机会。试着增加或者移除一些层或者改变他们的宽度，来看看这回对网络中训练参数的数量有什么影响。\n",
    "\n",
    "Keras 的一个很棒的特点是指出回掉函数。这些函数在每一个训练epoch 中被执行。我们会定义一些回掉函数：  \n",
    "\n",
    "* **ReduceLrOnPlateau** - 如果模型接近于最小值，学习率太高，那么模型将围绕在那个最小值而不达到最小值。这个回掉函数允许我们减小学习率当验证数据的损失停止增加，允许我们达到一个最优点。  \n",
    "* **CsvLogger** - 记录在每一次训练的模型输出，这使得我们可以在不必要时用控制台的情况下跟踪进度。  \n",
    "* **ModelCheckpoint** - 通常，我们会想要使用那些在验证数据上有很最小损失的模型。这个回掉函数将在每次验证数据训练时损失增加时的模型。\n",
    "* **EarlyStopping** - 当验证损失停止增加时候，我们会想要停止训练。否则，我们会有过拟合的风险。这个检测器将检测验证损失停止增加的时刻，同时停止训练过程。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plateau_callback = ReduceLROnPlateau(monitor=\"val_loss\", factor=0.5, patience=3, min_lr=0.0001, verbose=1)\n",
    "checkpoint_filepath = os.path.join(MODEL_OUTPUT_DIR, 'models', '{0}_model.{1}-{2}.h5'.format('model', '{epoch:02d}', '{val_loss:.7f}'))\n",
    "checkAndCreateDir(checkpoint_filepath)\n",
    "checkpoint_callback = ModelCheckpoint(checkpoint_filepath, save_best_only=True, verbose=1)\n",
    "csv_callback = CSVLogger(os.path.join(MODEL_OUTPUT_DIR, 'training_log.csv'))\n",
    "early_stopping_callback = EarlyStopping(monitor=\"val_loss\", patience=10, verbose=1)\n",
    "callbacks=[plateau_callback, csv_callback, checkpoint_callback, early_stopping_callback, TQDMNotebookCallback()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "现在是时候训练模型了！使用缺省设置，这个模型在一块NVidia GTX970 GPU 上训练时间大约为45分钟。注意： 有时候模型在验证损失超过7个epoch 保持不变时候将被阻塞。如果不运行，这个模型应该终止，此时验证损失在大概0.0003 左右。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "history = model.fit_generator(train_generator, steps_per_epoch=num_train_examples//batch_size, epochs=500, callbacks=callbacks,\\\n",
    "                   validation_data=eval_generator, validation_steps=num_eval_examples//batch_size, verbose=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "现在我们仔细检查下。我们将载入一些训练图片来比较标注和预测。这些应该非常接近某个数值如果我们的模型很好的进行了学习。   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Steering Angle = [-0.035522]\n",
      "Predicted Steering Angle = [-0.0003692]\n",
      "L1 Error: [ 0.0351528]\n"
     ]
    },
    {
     "data": {
      "image/png": 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7j/mXX3kr9E3TY6xL7dZKkGeSJ1chqDEZg0NgY6RVDBNVkbFtOrQO9wyjYRhHbPSIbh6v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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x29d3c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Steering Angle = [ 0.12993667]\n",
      "Predicted Steering Angle = [-0.0003692]\n",
      "L1 Error: [ 0.13030587]\n"
     ]
    },
    {
     "data": {
      "image/png": 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qwLpt/52UqqioQn5HJP77JuQPBpGkKAvKwBmv8yE7+7c4LjbU4TMSh5SSZ+97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\nn+IUpzjFWxL/H50X5jAIJ3VMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2edaa358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Actual Steering Angle = [-0.09872733]\n",
      "Predicted Steering Angle = [-0.0003692]\n",
      "L1 Error: [ 0.09835813]\n"
     ]
    },
    {
     "data": {
      "image/png": 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HtN6qssZirAnBcSkFSdYLAcA4TpA6QihJ4v9NCoEQEuutfmttCIQCtG1La0zA+AGqugnB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\nQZ8wYcKEe4L/B6Cu+Kiy1yWSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x310717f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "[sample_batch_train_data, sample_batch_test_data] = next(train_generator)\n",
    "predictions = model.predict([sample_batch_train_data[0], sample_batch_train_data[1]])\n",
    "for i in range(0, 3, 1):\n",
    "    draw_image_with_label(sample_batch_train_data[0][i], sample_batch_test_data[i], predictions[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "看起来很棒！我们继续使用AirSim在[下一个章节](TestModel.ipynb) 来实际运行模型。"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
